摘要
本文利用小波变换来对合成孔径雷达图象做多分辨率分析,说明了相干斑噪声对图象的不同频率成份的影响程度是不同的,同时也说明了相干斑噪声与图象在小波变换下具有截然不同的奇异性.因此,本文提出了用小波分析来抑制相干斑噪声。实验证明了:小波分析除了能够对相干斑具有很好的抑制效果外,还保留了尽可能多的原图象的目标特征。利用小波分析来抑制相干斑噪声是一个十分吸引人的新方法。
This paper studies Synthetic Aperture Radar(SAR) images with the multiresolution analysis of wavelet transform. This study indicates that the influences of the coherent speckle noise on different frequency components of the SAR images are different, and that the manners of singularity of the SAR images and the speckle noise are different, too. So, this paper presents a denoising method of wavelet analysis to reduce the coherent speckle noise. In the meanwhile, a lot of experiments approve that this method not only suppresses the speckle noise effectively, but also preserves as many target characteristics of original images as possible. It shows that this denoising method of wavelet analysis offers a very attractive alternative to suppress the coherent speckle noise of the SAR images.
基金
国家自然科学基金
国家高科技863资助项目
关键词
合成孔径雷达
相干斑噪声
小波变换
雷达
Synthetic Aperture Radar(SAR), Coherent speckle noise, Wavelet transform, Mul-tiresolution analysis, Singularity
